Data-Centric ML Curriculum Architect

Walden Robotics; Cambridge (MA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Salary plus annual bonus

Company equity

401(k) with company match

Flexible PTO

Daily lunch

Job summary

Walden Robotics is seeking a senior data curriculum IC to define what data models learn from, how it's mixed, and in what order across pre- and post-training. This role sits between the data platform and research teams, delivering high-leverage impact.

You will own curriculum, run data-centric experiments, build tooling, and mentor cross-team colleagues to improve model quality. This position offers a competitive package, equity, and comprehensive benefits in Cambridge, MA.

Qualifications

• Data-centric ML: A track record of improving models through data rather than architecture alone.
• Experimental rigor: Rigor in experimental design and in correctly attributing model changes to data changes.
• Influence: The ability to lead a cross-cutting work stream and influence multiple teams without owning them.
• Engineering: Sound skills to build the tooling your experiments depend on.
• Communication: Clear communication of results and their implications.

Responsibilities

• Own data curriculum: sourcing, mixing, weighting, sequencing, converting across pre- and post-training.
• Run experiments that quantify how curriculum choices move model quality.
• Build tooling that makes curriculum changes fast, measurable, and reproducible.
• Develop an evidence-based understanding of which data helps, which hurts, and why.
• Partner across research and data teams and mentor on data-centric methodology.

Skills

Data-centric ML

Experimental design

Cross-team influence

Engineering

Communication

Job description

Walden Robotics is seeking a senior data curriculum IC to define what data models learn from, how it's mixed, and in what order across pre- and post-training. This role sits between the data platform and research teams, delivering high-leverage impact.

You will own curriculum, run data-centric experiments, build tooling, and mentor cross-team colleagues to improve model quality. This position offers a competitive package, equity, and comprehensive benefits in Cambridge, MA.